Main
James Gammerman
Education
MSc (part-time), Machine Learning
Royal Holloway University
London, UK
2018 - 2016
- Grade: Distinction
- Selected modules: Deep Learning, Tree-based methods, Regression, Unsupervised Learning, Natural language processing, Large-scale Data Analytics (Big Data)
- Thesis: Predictive Maintenance with Conformal and Probabilistic Prediction - A Commercial Case Study. Won best thesis award.
MSci, Chemistry
Imperial College
London, UK
2013 - 2009
- MSc project in computational chemical physics
Professional Experience
Data Scientist
Centrica
London, UK
Current - 2017
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Business Analyst
ExxonMobil
London, UK
2017 - 2013
- Numerous analytical tasks relating to European gas and power markets
Academic Publications
Journal article: Multi-level conformal clustering: A distribution-free technique for clustering and anomaly detection
Neurocomputing, vol 397:279-291, 2020
N/A
2020
- This paper was developed from my MSc project and introduced a novel clustering technique which also incorporates anomaly detection
Poster: Conformal Anomaly Detection based on Association Rules
Proceedings of Machine Learning Research, Vol 105:246-7, 2019
N/A
2019
- This poster introduced a novel ML technique for database cleaning based on association rule mining
Talks and Teaching
Workshop: Business Analytics in R - An Introduction to Statistical Programming
Centrica
Various Locations
Current - 2018
- I have presented five workshops to company employees across the UK
Talk: Machine Learning: Progress & Prospects
Odessa University, Ukraine
Odessa, Ukraine
2018
- Guest lecture at Data Science meetup